Carol Van Ess-Dykema

9 papers and 685 indexed citations i.

About

Carol Van Ess-Dykema is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Carol Van Ess-Dykema has authored 9 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Language and Linguistics. Recurrent topics in Carol Van Ess-Dykema’s work include Natural Language Processing Techniques (7 papers), Speech and dialogue systems (6 papers) and Topic Modeling (5 papers). Carol Van Ess-Dykema is often cited by papers focused on Natural Language Processing Techniques (7 papers), Speech and dialogue systems (6 papers) and Topic Modeling (5 papers). Carol Van Ess-Dykema collaborates with scholars based in United States and United Kingdom. Carol Van Ess-Dykema's co-authors include Daniel Jurafsky, Andreas Stolcke, Rachel W. Martin, Noah Coccaro, Marie Meteer, Rebecca Bates, Klaus Ries, Elizabeth Shriberg, Paul Taylor and Paul Taylor and has published in prestigious journals such as Computational Linguistics, Language and Speech and Literary and Linguistic Computing.

In The Last Decade

Co-authorship network of co-authors of Carol Van Ess-Dykema i

Fields of papers citing papers by Carol Van Ess-Dykema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Van Ess-Dykema. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carol Van Ess-Dykema. The network helps show where Carol Van Ess-Dykema may publish in the future.

Countries citing papers authored by Carol Van Ess-Dykema

Since Specialization
Citations

This map shows the geographic impact of Carol Van Ess-Dykema's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carol Van Ess-Dykema with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Van Ess-Dykema more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025